{"id":"W4212982199","doi":"10.1002/ird.2694","title":"Water reuse to free up freshwater for higher‐value use and increase climate resilience and water productivity","year":2022,"lang":"en","type":"article","venue":"Irrigation and Drainage","topic":"Water resources management and optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"Consortium of International Agricultural Research Centers; Global Affairs Canada; Government of Canada; World Bank Group","keywords":"Water scarcity; Reuse; Water conservation; Environmental science; Water use; Water resources; Productivity; Farm water; Desalination; Business; Water resource management; Natural resource economics; Economics; Engineering; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004486534,0.0002726343,0.0002174451,0.000654628,0.0002793273,0.001026797,0.0003148303,0.0002964798,0.005393303],"category_scores_gemma":[0.000658716,0.0001028971,0.0004266811,0.0008358231,0.0007310295,0.0009614542,0.001100521,0.000267044,0.0003354888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008552962,"about_ca_system_score_gemma":0.0007272062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001858941,"about_ca_topic_score_gemma":0.003122534,"domain_scores_codex":[0.999744,0.00006426674,0.00001319309,0.00003736332,0.00006543375,0.00007565608],"domain_scores_gemma":[0.9997514,0.0000619129,0.00007563702,0.0000416808,0.0000342567,0.00003507319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000299307,0.0007354043,0.02397809,0.0005248456,0.000228864,0.0003131785,0.0001732986,0.5126081,0.1481565,0.09249494,0.00317986,0.2173076],"study_design_scores_gemma":[0.0001138351,0.001779488,0.06579795,0.0002416694,0.0002153428,0.0005299168,0.001652506,0.5332133,0.1765186,0.1479842,0.07183298,0.0001202514],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8355763,0.001023369,0.1000344,0.001699615,0.00007057917,0.0001231383,0.0001921194,0.0002202634,0.06106022],"genre_scores_gemma":[0.9944081,0.0001910023,0.003313383,0.00002811469,0.000005568957,0.00001486963,0.00001892193,0.00001216674,0.002007877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005393303,"threshold_uncertainty_score":0.01804239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180797183296951,"score_gpt":0.2012843492737366,"score_spread":0.1894763774407671,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}